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202 lines
9.9 KiB
202 lines
9.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#ifndef HL_CUDA_CUDNN_STUB_H_
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#define HL_CUDA_CUDNN_STUB_H_
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#include "hl_cuda_cudnn.h"
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inline int hl_get_cudnn_lib_version() { return 0; }
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inline void hl_create_tensor_descriptor(hl_tensor_descriptor* image_desc) {}
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inline void hl_tensor_reshape(hl_tensor_descriptor image_desc,
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int batch_size,
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int feature_maps,
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int height,
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int width) {}
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inline void hl_tensor_reshape(hl_tensor_descriptor image_desc,
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int batch_size,
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int feature_maps,
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int height,
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int width,
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int nStride,
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int cStride,
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int hStride,
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int wStride) {}
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inline void hl_destroy_tensor_descriptor(hl_tensor_descriptor image_desc) {}
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inline void hl_create_pooling_descriptor(hl_pooling_descriptor* pooling_desc,
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hl_pooling_mode_t mode,
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int height,
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int width,
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int height_padding,
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int width_padding,
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int stride_height,
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int stride_width) {}
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inline void hl_destroy_pooling_descriptor(hl_pooling_descriptor pooling_desc) {}
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inline void hl_pooling_forward(hl_tensor_descriptor input,
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real* input_image,
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hl_tensor_descriptor output,
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real* output_image,
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hl_pooling_descriptor pooling) {}
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inline void hl_pooling_backward(hl_tensor_descriptor input,
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real* input_image,
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real* input_image_grad,
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hl_tensor_descriptor output,
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real* output_image,
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real* output_image_grad,
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hl_pooling_descriptor pooling) {}
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inline void hl_create_filter_descriptor(hl_filter_descriptor* filter,
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int input_feature_maps,
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int output_feature_maps,
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int height,
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int width) {}
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inline void hl_destroy_filter_descriptor(hl_filter_descriptor filter) {}
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inline void hl_create_convolution_descriptor(hl_convolution_descriptor* conv,
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hl_tensor_descriptor image,
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hl_filter_descriptor filter,
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int padding_height,
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int padding_width,
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int stride_height,
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int stride_width,
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int dilation_h,
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int dilation_w) {}
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inline void hl_reset_convolution_descriptor(hl_convolution_descriptor conv,
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hl_tensor_descriptor image,
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hl_filter_descriptor filter,
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int padding_height,
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int padding_width,
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int stride_height,
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int stride_width,
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int dilation_h,
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int dilation_w) {}
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inline void hl_destroy_convolution_descriptor(hl_convolution_descriptor conv) {}
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inline void hl_conv_workspace(hl_tensor_descriptor input,
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hl_tensor_descriptor output,
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hl_filter_descriptor filter,
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hl_convolution_descriptor conv,
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int* convFwdAlgo,
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size_t* fwdLimitBytes,
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int* convBwdDataAlgo,
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size_t* bwdDataLimitBytes,
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int* convBwdFilterAlgo,
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size_t* bwdFilterLimitBytes,
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bool useDilation) {}
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inline void hl_convolution_forward(hl_tensor_descriptor input,
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real* input_data,
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hl_tensor_descriptor output,
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real* output_data,
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hl_filter_descriptor filter,
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real* filter_data,
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hl_convolution_descriptor conv,
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void* gpuWorkSpace,
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size_t sizeInBytes,
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int convFwdAlgo) {}
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inline void hl_convolution_forward_add_bias(hl_tensor_descriptor bias,
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real* bias_data,
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hl_tensor_descriptor output,
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real* output_data) {}
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inline void hl_convolution_backward_filter(hl_tensor_descriptor input,
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real* input_data,
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hl_tensor_descriptor output,
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real* output_grad_data,
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hl_filter_descriptor filter,
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real* filter_grad_data,
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hl_convolution_descriptor conv,
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void* gpuWorkSpace,
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size_t sizeInBytes,
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int convBwdFilterAlgo) {}
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inline void hl_convolution_backward_data(hl_tensor_descriptor input,
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real* input_data_grad,
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hl_tensor_descriptor output,
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real* output_grad_data,
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hl_filter_descriptor filter,
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real* filter_data,
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hl_convolution_descriptor conv,
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void* gpuWorkSpace,
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size_t sizeInBytes,
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int convBwdDataAlgo) {}
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inline void hl_convolution_backward_bias(hl_tensor_descriptor bias,
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real* bias_grad_data,
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hl_tensor_descriptor output,
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real* output_grad_data) {}
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inline void hl_softmax_forward(real* input,
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real* output,
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int height,
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int width) {}
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inline void hl_softmax_backward(real* output_value,
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real* output_grad,
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int height,
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int width) {}
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inline void hl_batch_norm_forward_training(hl_tensor_descriptor inputDesc,
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real* input,
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hl_tensor_descriptor outputDesc,
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real* output,
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hl_tensor_descriptor bnParamDesc,
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real* scale,
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real* bias,
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double factor,
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real* runningMean,
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real* runningInvVar,
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double epsilon,
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real* savedMean,
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real* savedVar) {}
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inline void hl_batch_norm_forward_inference(hl_tensor_descriptor inputDesc,
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real* input,
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hl_tensor_descriptor outputDesc,
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real* output,
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hl_tensor_descriptor bnParamDesc,
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real* scale,
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real* bias,
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real* estimatedMean,
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real* estimatedVar,
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double epsilon) {}
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inline void hl_batch_norm_backward(hl_tensor_descriptor inputDesc,
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real* input,
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hl_tensor_descriptor outGradDesc,
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real* outGrad,
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hl_tensor_descriptor inGradDesc,
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real* inGrad,
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hl_tensor_descriptor dBnParamDesc,
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real* scale,
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real* scaleGrad,
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real* biasGrad,
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double epsilon,
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real* savedMean,
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real* savedInvVar) {}
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#endif // HL_CUDA_CUDNN_STUB_H_
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